[Hiring] Data Analyst - Customer Analytics @Granicus

Role Description

The Granicus Experience Group (GXG) is Granicus' in-house digital agency — a cross-functional team of strategists, analysts, communicators, and technology experts focused on customer experience and digital communications for government clients. GXG leverages best-in-class human-centered practices and a design-thinking approach to help federal, state, and local government customers better connect with the people they serve.

The Data Analyst, Customer Analytics serves as the subject-matter expert for customer analytics, measurement, and reporting within GXG. This role owns the design, delivery, and continuous improvement of analytics workstreams that enable government customers to understand program performance, optimize digital communications, and achieve measurable outcomes.

Operating as an advanced individual contributor, the analyst independently leads analytics workstream execution, sets analytics best practices, makes specialized technical decisions, and mentors junior analysts in data quality, visualization, and reporting methodology.

Qualifications

• Advanced SQL proficiency — complex query design, data modeling, performance optimization, and multi-source dataset manipulation.
• Expert-level BI & data visualization — deep expertise in QuickSight, Tableau, Power BI, or Looker; dashboard architecture and design for executive and operational audiences.
• Measurement framework design — ability to define KPIs, success metrics, and analytics strategies for digital communication programs from first principles.
• Data governance & quality ownership — ability to define and enforce data quality standards, validation frameworks, and governance practices at the workstream level.
• ETL & data integration — strong understanding of data pipeline concepts, ETL processes, and data validation in multi-source environments.
• Digital channel analytics expertise — email, web, survey, social, CRM, and forms analytics; cross-channel measurement and attribution modeling.
• AI-assisted analytics — ability to evaluate, adopt, and integrate AI-enabled productivity and analytics tools responsibly and effectively within data governance requirements.
• Communication & influence — ability to lead analytical presentations and influence customer measurement strategy through data storytelling for both technical and non-technical audiences.
• Mentoring & coaching — demonstrated ability to develop junior analyst skills through structured guidance, peer review, and actionable feedback.
• Agile methodology — advanced familiarity with Scrum/Kanban; ability to lead analytics ceremonies and manage workstream-level delivery.

Requirements

• 4–6 years of experience in a data analyst, analytics engineer, digital analyst, or reporting analyst role in a professional services, agency, or technology environment.
• Demonstrated ownership of analytics workstreams, measurement frameworks, or reporting infrastructure — with evidence of leading deliverables end-to-end, not merely contributing.
• Advanced SQL skills with demonstrated experience in complex query design and multi-source data environments.
• Expert-level proficiency in at least one major BI platform (QuickSight, Tableau, Power BI, or Looker), with evidence of dashboard architecture for multiple stakeholder audiences.
• Demonstrated experience designing measurement strategies or analytics frameworks from first principles, including KPI definition and performance benchmarking.
• Experience communicating analytical findings and recommendations to senior or executive-level stakeholders, including government clients.
• Experience working across digital channels (email, web, surveys, CRM, social) with cross-channel measurement design.
• Experience mentoring or coaching junior analysts or reporting contributors, with evidence of structured peer review or quality assurance contributions.
• Experience with AI-assisted analytics tools and productivity platforms, with demonstrated responsible use within data governance requirements.
• Experience working within Agile/Scrum delivery frameworks in an analytics or data context.
• Bachelor's degree in Analytics, Data Science, Statistics, Information Systems, Marketing, Business, or a related field, or equivalent practical experience.

Benefits

• Flexible Time Off – Take the time you need to rest, recharge, and live your life.
• Company-Wide Wellbeing Days – Paid days off to unplug and focus on your mental health.
• Work From Home Reimbursement – Support a productive home office environment.
• Multiple Health Plan Options – Including a 100% employer-paid plan.
• Employer HSA Contributions – When enrolled in a High-Deductible Health Plan.
• Fitness Reimbursement Program – Stay active, your way.
• On-Demand Mental Health Support – Access to Headspace and other wellness tools.
• Paid Parental Leave – For both birthing and non-birthing parents.
• Traditional & Roth 401(k) – With a generous company match.
• Life & AD&D Insurance – 100% employer-paid coverage for peace of mind.
• Online Learning Platforms – Fuel your professional development.
• Competitive Salary & Bonuses – Your contributions are valued and rewarded.